Top all-time · #16447
Open-Meteo
Company blog · openmeteo.substack.comdataprogramming
Open-Meteo is the company blog at openmeteo.substack.com, writing about data and programming. Since 2021, 4 different Hacker News readers have linked it 7 times, most often “How to store weather forecast data for fast time-series APIs (2022)”. It is still writing: the last post was on 2026-07-16, and you can follow it by feed.
Too few sampled comments (3) to say how often HN recommends it.?
Why HN links it
HN readers link this Open-Meteo Substack for posts on ensemble weather forecasts and processing large historical weather datasets. Commenters cite them as sources for their own weather display and data projects.
Summarised by Claude from a sample of 3 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.
The latest developments around weather forecasts!
Most-linked posts?
- How to store weather forecast data for fast time-series APIs (2022)2 people · 2 mentions · first linked 2021-10-10
What Hacker News says?
Been pulling in some of the newer data and concepts from open-meteo to my home weather display specifically the ensemble data, helps to provide some level of spread over the forecast, I mean I am not that sure how useful it is but I kinda got used to reading it of the display. https://openmeteo.substack.com/p/ensemble-weather-forecast-a... https://open-meteo.com/en/docs/ecmwf-api https://open-meteo.com/en/docs/ensem…
Comment linking /p/ensemble-weather-forecast-api
on “Europe's next-generation weather satellite sends back first images”Submitted Historical weather data API for machine learning, free for non-commercial as a story · 196 points
HN discussionhttps://weather-sense.leftium.com shows the past two days of weather, could be configured to show up to 90. - The data is from https://open-meteo.com - It would be trivial to connect the historical weather API (back to 1940): https://openmeteo.substack.com/p/processing-90-tb-historical...
Comment linking /p/processing-90-tb-historical-weather?triedRedirect=true
on “A Eulogy for Dark Sky, a Data Visualization Masterpiece (2023)”Submitted How to store weather forecast data for fast time-series APIs (2022) as a story · 27 points
HN discussionTraditional database systems struggle to handle gridded data efficiently. Using PG with time-based indices is memory and storage extensive. It works well for a limited number of locations, but global weather models at 9-12 km resolution have 4 to 6 million grid-cells. I am exploiting on the homogeneity of gridded data. In a 2D field, calculating the data position for a graphical coordinate is straightforward. Once y…
Comment linking /i/64601201/how-data-are-stored-and-made-available-through-api
on “GraphCast: AI model for faster and more accurate global weather forecasting”Submitted The German weather service stopped using airplane data for weather forecasts as a story · 4 points
HN discussionSubmitted How to store weather forecast data for fast time-series APIs as a story · 3 points
HN discussion